Multilevel Optimization in VLSICAD, 1st Edition eBook

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In the last few decades, multiscale algorithms have become a dominant trend in large-scale scientific computation. Researchers have successfully applied these methods to a wide range of simulation and optimization problems. This book gives a general overview of multiscale algorithms; applications to general combinatorial optimization problems such as graph partitioning and the traveling salesman problem; and VLSICAD applications, including circuit partitioning, placement, and VLSI routing. Additional chapters discuss optimization in reconfigurable computing, convergence in multilevel optimization, and model problems with PDE constraints. Audience: Written at the graduate level, the book is intended for engineers and mathematical and computational scientists studying large-scale optimization in electronic design automation.

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Multilevel Optimization in VLSICAD 1st Edition is written by Jingsheng Jason Cong; ‎Joseph R. Shinnerl and published by Springer. The Digital and eTextbook ISBNs for Multilevel Optimization in VLSICAD are 9781475737486, 1475737483 and the print ISBNs are 9781475737486, 1475737483. Additional ISBNs for this eTextbook include 9781402010811, 9781441952400.